Instructions to use rms7988/final_model_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rms7988/final_model_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rms7988/final_model_1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("rms7988/final_model_1") model = AutoModelForCTC.from_pretrained("rms7988/final_model_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 1000
Verified signature7d839f3 -
Upload tokenizer
Verified signature90b1795 -
Upload tokenizer
Verified signature6be61f4 -
Upload tokenizer
Verified signatureba84435 -
End of training
Verified signature6da298a -
Training in progress, step 500
Verified signature953a15f -
Training in progress, step 500
Verified signaturef30c6c0 -
initial commit
Verified signaturea140ef0